In previous work, we estimated a dynamic model of the Italian economy, showing that its weakness in the past two decades is mainly due to the slowdown in total factor productivity growth. In those models, two parameters play a key role: technological progress and the elasticity of substitution. Recent estimates of those parameters are affected, in our opinion, by a specification problem: technological parameters are inherently long-run but their estimates are based on short-run data. Looking deeply into the estimation procedure, we show that the misspecification issue present in the estimates gives rise to a spurious regression bias (high R2, low DW), because the standard approach does not incorporate frictions and rigidities. Our modeling strategy takes account of them. Although we cannot in general say that our framework gets rid of the serial correlation problem, the statistics for our model do show that residuals are not serially correlated.

This paper investigates the time delay in the transmission of oil price shocks using disaggregated manufacturing data on inventories and sales. VAR estimates indicate that industry-level inventories and sales respond faster to an oil price shock than aggregate gross domestic product, especially in industries that are energy-intensive. In response to an unexpected oil price increase, sales drop and inventories are accumulated. This leads to future reductions in production. We estimate a modified linear–quadratic inventory model to inquire whether the patterns observed in the VAR impulse responses are consistent with rational behavior by the firms. Estimation results suggest that three mechanisms play a role in the industry-level dynamics. First, oil prices act as a negative demand shock. Second, the shock catches manufacturers by surprise, resulting in higher-than-anticipated inventories. Third, because of their desire to smooth production, manufacturers deviate from the target level of inventories and spread the decline in production over various quarters; hence the delay in the response of aggregate output.

This paper uncovers a mechanism by which bubbles crowd in capital investment. If capital formation is initially depressed by a binding credit constraint, a bubble triggers a savings glut. Higher returns in a new bubbly equilibrium attract additional savings, which are channeled to expand investment at the extensive margin, leading to permanently higher capital, output, and wages. We demonstrate that crowding-in through this channel is a robust phenomenon that occurs along the entire time path.

Macroeconomic models of the economy with rigid wage structures tend to predict unrealistically volatile labor hours and countercyclical productivity. This study extends the Cho–Cooley model by incorporating labor market frictions and efficient bargaining as an alternative contracting scheme in which contracts are forward-looking and specify labor hours and wage rates. By accounting for search frictions and realistic contractual schemes, the extended model overcomes two counterfactual predictions: (1) excess volatility of employment and output and (2) countercyclical productivity. However, the extended model fails to produce the Beveridge curve.

Much of the capital equipment used in developing countries is created in the OECD and, thus, is designed to make optimal use of the relative supplies of capital, labor, and energy in these developed countries. However, differences in capital–labor ratios between developed and developing countries create a mismatch between the energy requirements of this capital and developing countries' optimal levels of energy intensity. Using a calibrated macroeconomic model, this paper analyzes the implications of this mismatch for climate policy. I find that using capital equipment with “inappropriate” energy intensity has sizeable consequences for both the effectiveness and the welfare cost of climate policies in developing countries.

We develop a dynamic partial equilibrium model of the housing market, in which the dynamics of the house price is determined by the interaction between chartists and fundamentalists. The model endogenously generates episodes of boom and bust in the house price and can replicate the recent US house price dynamics, and points to endogenous and exogenous behavioral factors as the main determinants of such dynamics.

We study the impacts of investment in public capital on equity and efficiency. Taking into account stylized facts on wealth accumulation, we model agent heterogeneity through differences in saving behavior, income source and time preference. We find that in the long run, public investment is Pareto-improving and that it reduces inequality in wealth, welfare, and income at the same time, if it is financed by a capital tax. Consumption tax financing is also Pareto-improving but distribution-neutral. Only for labor tax financing, a trade-off between equity and efficiency occurs. Additionally, we find that agents differ in their preferred tax rates.The results for capital and labor tax financing are valid for both, the case of decreasing and constant returns to accumulable factors.

US labor share has been falling since the 1970s. I show that it has not fallen as much once items that do not add to capital, depreciation and production taxes, are netted out. Recent net labor share is within its historical range, whereas gross share is at its lowest level. This effect holds for other high-income economies. The overall picture is no longer one of unprecedented, globally declining labor share. Using gross share as a proxy for net share can give misleading results. US gross share and inequality are correlated, whereas net share, the correct measure, is not.

We amend the canonical matching model by assuming diminishing returns to labor. We put the model to the twin test of generating a high volatility of labor market variables in response to productivity shocks (the “Shimer puzzle”) and a moderate response to changes in unemployment benefits and find that it passes that test. It does not feature wage rigidity, nor is it based on a small surplus calibration. Diminishing returns introduce a distinction between marginal and average surplus. With a standard (large average surplus) calibration, we can have a small marginal surplus, and thus a strong response of hiring to productivity shocks, while obtaining a measured response of unemployment to changes in benefits.

Previous research shows that volatility in oil prices has tended to depress output, as measured by nonresidential investment, gross domestic product, and aggregated measures of industrial production in several countries. This paper investigates the effect of oil price volatility on disaggregated measures of industrial production. The disaggregated measures that we examine are the special aggregates by market groups as calculated by the Federal Reserve Board. Our results are reported for three categories of special aggregates: indexes for industrial production excluding two major industries (technology and motor vehicles), energy-related special aggregates, and non-energy-related special aggregates. Our results indicate that among energy-related market groups, the effects of oil price volatility are concentrated in activities related to primary energy generation and oil and gas drilling. Among non-energy-related market groups, oil price volatility affects a broad range of special aggregates, including aggregates sorted by consumer goods and business equipment.

We construct a theory of forward guidance in economic policy making in order to provide a framework for explaining the role and strategic advantages of including forward guidance as an explicit part of policy design. We do this by setting up a general policy problem in which forward guidance plays a role, and then examine the consequences for performance when that guidance is withdrawn. We show that forward guidance provides enhanced controllability and stabilizability—especially where such properties may not otherwise be available. As a by-product, we find that forward guidance limits the scope and incentives for time-inconsistent behavior in an economy whose policy goals are ultimately reachable. It also adds to the credibility of a set of policies.

A variety of international macroeconomic models predict a relationship between the real exchange rate and consumption. The empirical evidence in favor of such a relationship is limited, the so-called Backus and Smith puzzle. In this paper, we extend the analysis to allow for nonlinear dynamics and volatility changes across exchange rate regimes. Our findings suggest that long-run relationships in line with standard international business cycle models do exist for many Organization for Economic Co-operation and Development (OECD) countries. Further, Monte Carlo experiments illustrate that the nonlinear models can generate the Backus and Smith and the exchange rate disconnect puzzles. In this paper, we also contribute to the nonlinear real exchange rate literature by establishing a theoretical relationship between volatility and persistence. In accordance with the theoretical results, our empirical findings suggest that the increase in volatility in the post-Bretton Woods era is associated with relatively fast mean reversion of the real rate toward its equilibrium value.

This paper studies cycles of nationalization and privatization in resource-rich economies. It starts with a synthesis of available evidence on the drivers and consequences of privatization and nationalization. Then it develops a dynamic model of the choice between private and national regimes for the ownership of natural resources. The choice is driven by a basic equality-efficiency trade-off: national ownership results in more redistribution of income and more equality but undermines incentives for effort. We discuss how the resolution of the trade-off depends on external variables—such as the commodity price—and domestic ones—such as the tax system. The model thus identifies the determinants of the observed cycles of privatization and nationalization and is consistent with key stylized facts.

We study liquidity effects and monetary policy in a model with fully flexible prices and explicit roles for money and financial intermediation. Banks hold some fractions of deposits and money injections as liquidity buffers. The higher the fraction kept as reserves, the less liquid the money is. Unexpected money injections raise output and lower nominal interest rates if and only if the newly injected money is more liquid than the initial money stocks. If banks hold no liquidity buffers, liquidity effects are eliminated. In an extended model with temporary shocks, we show that failure to withdraw state-contingent money injections does not make the stabilization policy neutral, though the economy may undergo higher short-run fluctuations than otherwise. Under this circumstance, the success of stabilization policy relies on unexpected money injections being more liquid than the initial money stock.

We explore the effects of banking regulation on financial stability and macroeconomic dynamics in an agent-based computational model. In particular, we study the minimum level of capital and the lending concentration towards a single counterpart. We show that an overly tight regulation is dangerous because it reduces credit availability. By contrast, overly loose constraints, associated with a high payout ratio, increase financial fragility that, in turn, damage the real economy. Simulation results support the introduction of regulatory rules aimed at assuring an adequate capitalization of banks, such as the Capital Conservation Buffer (Basel III reform).

This study evaluates the accuracy of a set of techniques that approximate the solution of continuous-time Dynamic Stochastic General Equilibrium models. Using the neoclassical growth model, I compare linear-quadratic, perturbation, and projection methods. All techniques are applied to the Hamilton–Jacobi–Bellman equation and the optimality conditions that define the general equilibrium of the economy. Two cases are studied depending on whether a closed-form solution is available. I also analyze how different degrees of non-linearities affect the approximated solution. The results encourage the use of perturbations for reasonable values of the structural parameters of the model and suggest the use of projection methods when a high degree of accuracy is required.

We use laboratory experiments with human subjects to test the relevance of different inflation-targeting regimes. In particular and within the standard New Keynesian model, we evaluate to what extent communication of the inflation target is relevant to the success of inflation targeting. We find that if the central bank cares only about inflation stabilization, announcing the inflation target does not make a difference in terms of macroeconomic performance compared with a standard active monetary policy. However, if the central bank also cares about the stabilization of economic activity, communicating the target helps to reduce the volatility of inflation, interest rate, and output gap, although their average levels are not affected. This finding is consistent with the theoretical literature and provides a rationale for the adoption of a flexible inflation-targeting regime.

Yes, indeed; at least for macroeconomic policy interaction. We examine a Neo-Classical economy and provide the conditions for policy arrangements to successfully stabilize the economy when agents have either rational or adaptive expectations. For a contemporaneous-data monetary policy rule, the monetarist solution is unique and stationary under a passive fiscal/active monetary policy regime if monetary policy appropriately incorporates expectational heterogeneity. In contrast, the active fiscal/passive monetary policy regime's fiscalist solution is prone to explosiveness due to empirically plausible expectational heterogeneity. Nevertheless, this can be a well-defined, rather orthodox equilibrium. For operational monetary policy rules, only the results for the fiscalist solution prevail. Moreover, our results are plausible from an adaptive learning viewpoint.

We argue that a random-coefficients representation of the classical Barro's model of unemployment dynamics can be used as a theoretical basis for a panel quantile autoregressive model of the unemployment rate. Estimating the latter with State-level data for the United States (1980–2010), we find that (i) unemployment persistence increases along quantiles of the conditional unemployment distribution; (ii) disregarding State-fixed effects implies an overestimation of unemployment persistence along unemployment quantiles; (iii) a macroeconomic shock changes not only the location but also the dispersion of the distribution of the State unemployment rates; (iv) a federal policy equally applied in each State can reduce unemployment inequality among States; (v) “hysteresis” and “natural rate” hypotheses can co-exist along quantiles of the unemployment distribution, with the former being not rejected at upper quantiles. In sum, while the standard approach to the estimation of unemployment persistence implicitly assumes that quantile parameter heterogeneity does not matter, we suggest that it does.

We estimate a medium-scale dynamic stochastic general equilibrium (DSGE) model for the euro area in an open-economy framework. The model includes structural trends on all variables, allowing us to estimate on gross data. First, we provide a theoretical balanced growth path consistent with permanent productivity shocks, inflation target changes, and permanent shocks to the openness of the economies. We then define the cycle as the gap between this sustainable trajectory and the gross data. Hence, we can properly deal with persistent deviations of the trade balance. Finally, we find persistent and strong effects from the asymmetric increase of euro-area imports during the last 10 years on domestic inflation. From 2000Q1 to 2008Q4, we estimate the contribution of the imbalanced development of international trade on euro-area inflation to an average of −0.7%, and on nominal interest rate, to an average of −1.4%.